Platform
Not just an IDE.A Context OS for AI work.
GitMir is the control layer between humans and AI agents. It turns large context into a 28-dimensional model, plans the work, runs agents like Claude Code and Codex, and keeps you in control of the result — the engine behind an entire ecosystem of products.
Start Free
Visual GitMir IDE for Claude Code — free with one product and one agent.
The Core
The real core isn't an IDE.It's a Context-to-Task engine.
Not Claude Code. Not MCP. Not the editor. The thing that makes GitMir work is the engine that turns a huge context into a structured model and a controlled stream of executable tasks. Everything else is an interface on top of it.
1Ingests a large, messy context
2Builds a model of understanding
3Finds the real entities and relationships
4Detects missing or unknown information
5Creates a plan and slices it into tasks
6Assigns tasks to AI agents
7Controls execution, risks and quality
8Collects artifacts and updates the model
Because the engine is general, the same machine runs under every product in the ecosystem. Software is just the first — and most valuable — thing it builds.
Ecosystem
One technology,an ecosystem of products
Every product is the same engine with a different model, task templates, agents and artifacts. We don't change the core — we change what it builds. Development is live today; the rest of the ecosystem is on the way.
AI product development
Live nowGitMir Build
Build complex products with Claude Code under full control. The first live product is the GitMir IDE.
Open the GitMir IDELegacy migration & rebuild
Live nowGitMir Migration
Capture a legacy system as a 28-D model, then re-platform, import and rebuild it on modern tech.
Open the GitMir IDELarge-information analysis
On the roadmapGitMir Research
Turn huge volumes of information into a structured model, findings and a report.
Contracts, risks, documents
On the roadmapGitMir Legal
Analyze contracts, surface risks, map obligations and drive a controlled review.
Market, competitors, content
On the roadmapGitMir Marketing
Analyze the market and competitors, research leads, and produce strategy and content.
ICP, lead research, outreach
On the roadmapGitMir Sales
Build an ICP, research and enrich leads, and run structured outreach workflows.
Internal process automation
On the roadmapGitMir Ops
Turn SOPs and internal workflows into AI-managed, controllable processes.
Company & financial analysis
On the roadmapGitMir Due Diligence
Structure a company from documents and data, find risks and build an investment memo.
Courses & programs
On the roadmapGitMir Education
Turn expertise into programs, modules, lessons, tests and materials.
Long-form content at scale
On the roadmapGitMir Content Factory
Produce long-form content, posts, videos and reports from a single context.
The Path
From a dev tool to a work platform
Like commerce started with books and CRM started with sales, GitMir starts with software development — and grows into the platform for AI-executed work.
Level 1
Live nowAI software development
Describe a product. GitMir plans it. Claude Code builds it. You control the process.
For: Founders, developers, agencies, SaaS teams, CTOs.
Level 2
On the roadmapComplex AI workflows
Turn any complex business goal into an AI-managed workflow — research, reports, analysis, content, automation.
For: Operations, analysts, agencies, consultants, enterprise teams.
Level 3
On the roadmapWorkflow marketplace
Install ready-made AI workflows for any business function — each one a context schema, tasks, agents and artifacts.
For: Every team that wants a packaged AI process, not a blank canvas.
Why Now
AI can execute.It just needs context and control.
2025
<5%
8× in a year
By 2026
40%
of enterprise apps will run task-specific AI agents — but no one can let agents "do everything" unsupervised.
Source: Gartner
The winners won't be the teams that run the most agents. They'll be the ones who can control them. That's the layer GitMir owns.
Context
Agents get the full product model, not a single file.
Control
Progress, validation, approvals and human-in-the-loop.
Confidence
Every result is checked against the model before it ships.
The Vision
Turn complex goals into controlled AI execution
1 year
The best way to build software products with Claude Code under control.
3 years
The AI work orchestration platform for teams working with large context and complex goals.
5 years
The operating system where companies turn knowledge, goals and AI agents into executed work.
From idea to executed work — with AI, context and control. It starts with one Claude Code agent, free, in the GitMir IDE.
Goal + context28-D modelAI agentsResult
Give GitMir a goal
and a large context.
It builds the model, plans the work, runs the agents and shows you the result — with you in control at every step. Start with one Claude Code agent, free.
No credit card. The first live product — the GitMir IDE for Claude Code.